Jongseong Choi

484 total citations
31 papers, 367 citations indexed

About

Jongseong Choi is a scholar working on Geology, Civil and Structural Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jongseong Choi has authored 31 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Geology, 9 papers in Civil and Structural Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jongseong Choi's work include 3D Surveying and Cultural Heritage (10 papers), Infrastructure Maintenance and Monitoring (9 papers) and Remote Sensing and LiDAR Applications (4 papers). Jongseong Choi is often cited by papers focused on 3D Surveying and Cultural Heritage (10 papers), Infrastructure Maintenance and Monitoring (9 papers) and Remote Sensing and LiDAR Applications (4 papers). Jongseong Choi collaborates with scholars based in United States, South Korea and Canada. Jongseong Choi's co-authors include Shirley J. Dyke, Chul Min Yeum, Xiao‐Le Han, Yijie Wang, Ning‐Jun Jiang, J. A. Roux, Moon Gi Kang, Mohammad R. Jahanshahi, Toshiro Hata and Yanjun Du and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Electron Devices.

In The Last Decade

Jongseong Choi

26 papers receiving 353 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jongseong Choi United States 11 150 73 57 48 47 31 367
Chih-Hung Chiang Taiwan 10 315 2.1× 39 0.5× 52 0.9× 76 1.6× 22 0.5× 73 541
Xiangxiong Kong United States 12 377 2.5× 92 1.3× 84 1.5× 79 1.6× 13 0.3× 25 537
Hajin Choi South Korea 12 451 3.0× 71 1.0× 79 1.4× 135 2.8× 15 0.3× 48 720
Shashank Pant Canada 10 140 0.9× 27 0.4× 28 0.5× 29 0.6× 64 1.4× 25 405
Seppe Sels Belgium 10 37 0.2× 23 0.3× 27 0.5× 108 2.3× 37 0.8× 29 278
Vincenzo Mallardo Italy 17 417 2.8× 33 0.5× 33 0.6× 16 0.3× 18 0.4× 47 739
Jiazeng Shan China 18 692 4.6× 88 1.2× 48 0.8× 80 1.7× 34 0.7× 55 840
Zhiqiang Shang China 7 582 3.9× 29 0.4× 34 0.6× 23 0.5× 17 0.4× 15 713
Zhanxiong Ma South Korea 11 291 1.9× 54 0.7× 103 1.8× 154 3.2× 31 0.7× 25 402
Futao Ni China 7 513 3.4× 55 0.8× 32 0.6× 51 1.1× 16 0.3× 9 654

Countries citing papers authored by Jongseong Choi

Since Specialization
Citations

This map shows the geographic impact of Jongseong Choi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jongseong Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jongseong Choi more than expected).

Fields of papers citing papers by Jongseong Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jongseong Choi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jongseong Choi. The network helps show where Jongseong Choi may publish in the future.

Co-authorship network of co-authors of Jongseong Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Jongseong Choi. A scholar is included among the top collaborators of Jongseong Choi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jongseong Choi. Jongseong Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ortiz, Ricardo, et al.. (2025). An Open-Source Multi-Robot Framework System for Collaborative Environments Based on ROS2. IEEE Access. 13. 16288–16302. 1 indexed citations
2.
Choi, Jongseong, et al.. (2025). Aircraft Detection and Registration Number Recognition System with YOLO and OCR. Journal of Neonatal Surgery. 14(2). 69–77.
3.
Lim, Hansol, et al.. (2025). LiDAR-3DGS: LiDAR reinforcement for multimodal initialization of 3D Gaussian Splats. Computers & Graphics. 132. 104293–104293.
4.
Dyke, Shirley J., et al.. (2024). Building pose detection for the characterization of reinforced concrete buildings. The Structural Design of Tall and Special Buildings. 33(13).
6.
Choi, Jongseong, et al.. (2023). Automated Bridge Inspection Image Retrieval Based on Deep Similarity Learning and GPS. Journal of Structural Engineering. 150(3). 5 indexed citations
7.
Choi, Jongseong, Chul Min Yeum, Charalampos Z. Patrikakis, et al.. (2022). Automated Graffiti Detection: A Novel Approach to Maintaining Historical Architecture in Communities. Applied Sciences. 12(6). 2983–2983. 3 indexed citations
8.
Han, Xiao‐Le, et al.. (2022). Deep learning based approach for automated characterization of large marine microplastic particles. Marine Environmental Research. 183. 105829–105829. 33 indexed citations
9.
Liu, Xiaoyu, Chul Min Yeum, Shirley J. Dyke, et al.. (2022). Multioutput Image Classification to Support Postearthquake Reconnaissance. Journal of Performance of Constructed Facilities. 36(6). 4 indexed citations
10.
Han, Xiao‐Le, et al.. (2022). Deep learning based approach for the instance segmentation of clayey soil desiccation cracks. Computers and Geotechnics. 146. 104733–104733. 33 indexed citations
11.
Choi, Jongseong, et al.. (2021). Similarity learning to enable building searches in post‐event image data. Computer-Aided Civil and Infrastructure Engineering. 37(2). 261–275. 12 indexed citations
12.
Dyke, Shirley J., et al.. (2020). Automated Indoor Image Localization to Support a Post-Event Building Assessment. Sensors. 20(6). 1610–1610. 6 indexed citations
13.
Choi, Jongseong & Shirley J. Dyke. (2020). CrowdLIM: Crowdsourcing to enable lifecycle infrastructure management. Computers in Industry. 115. 103185–103185. 9 indexed citations
14.
Knowles, J. Geoff, et al.. (2018). Board # 100 : Research Design, Data Collection, and Assessment Methods for an Integrated STEM Education Model (Work in Progress). Papers on Engineering Education Repository (American Society for Engineering Education). 1 indexed citations
15.
Choi, Jongseong, Chul Min Yeum, Shirley J. Dyke, & Mohammad R. Jahanshahi. (2018). Computer-Aided Approach for Rapid Post-Event Visual Evaluation of a Building Façade. Sensors. 18(9). 3017–3017. 33 indexed citations
16.
Yeum, Chul Min, Jongseong Choi, & Shirley J. Dyke. (2017). Autonomous image localization for visual inspection of civil infrastructure. Smart Materials and Structures. 26(3). 35051–35051. 28 indexed citations
17.
Roux, J. A., et al.. (2013). Scramjet: Minimum Thrust-Specific Fuel Consumption with Material Limit. Journal of Thermophysics and Heat Transfer. 27(2). 367–368. 1 indexed citations
18.
Choi, Jongseong, et al.. (2008). High Dynamic Range Image Reconstruction using Multiple Images. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 717–720. 4 indexed citations
19.
Lee, Sang‐Rae, et al.. (2008). 14.4: Integrating Multi‐Touch Function with a Large‐Sized LCD. SID Symposium Digest of Technical Papers. 39(1). 178–181. 25 indexed citations
20.
Neudeck, G.W., et al.. (1991). A model for the temperature-dependent saturated I/sub D/-V/sub D/ characteristics of an a-Si:H thin-film transistor. IEEE Transactions on Electron Devices. 38(9). 2070–2074. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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